Improved RSSI Localization Algorithm Based on Adaptive Clustering

XIA Hou-kai-shun; YU Hui-rong; WU Yi-lin; YE Jing-zhi

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Improved RSSI Localization Algorithm Based on Adaptive Clustering

更新时间：2026-09-04

- Improved RSSI Localization Algorithm Based on Adaptive Clustering
- Vol. 31, Issue 5, Pages: 103-106(2014)
- 作者机构：
  
  1. 1 华南理工大学控制与优化中心,广东,广州,510640
  2. 2 广东第二师范学院计算科学系,广东,广州,510310
- 作者简介：
- 基金信息：
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- Published：2014
- 稿件说明：
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夏候凯顺, 余辉荣, 邬依林, 叶景志. 基于自适应分簇的改进RSSI定位算法[J]. 微电子学与计算机, 2014, 31(5): 103-106.

XIA Hou-kai-shun, YU Hui-rong, WU Yi-lin, et al. Improved RSSI Localization Algorithm Based on Adaptive Clustering[J]. 2014, 31(5): 103-106.
夏候凯顺, 余辉荣, 邬依林, 叶景志. 基于自适应分簇的改进RSSI定位算法[J]. 微电子学与计算机, 2014, 31(5): 103-106. DOI：

XIA Hou-kai-shun, YU Hui-rong, WU Yi-lin, et al. Improved RSSI Localization Algorithm Based on Adaptive Clustering[J]. 2014, 31(5): 103-106. DOI：

摘要

针对RSSI定位中RSSI值容易受外界环境干扰的数据源精度问题，提出一种自适应分簇策略，从锚节点中优选节点形成一个工作簇为定位算法提供可靠观测数据；针对传统的RSSI最小二乘定位算法的不足，提出一种改进的加权最小二乘法.实验结果表明，此算法的准确率和定位精度都有较大提高，具有良好的定位效果.

Abstract

Focusing on the problem of inaccurate RSSI (Received Signal Strength Indicator) data caused by the environment interference in RSSI localization

an adaptive clustering strategy is introduced is this paper.Anchor nodes with precise RSSI value are chosen to form a working cluster by using this strategy to provide the node localization algorithm with reliable measurement data.An improved weighted least squares algorithm is proposed to overcome the shortage of traditional least squares algorithm in RSSI localization.In addition

apositioning experiment platform was built to verify and testify the presented algorithm and strategy.The results show that the improved weighted least squares algorithm based on adaptive clustering greatly improve the positioning accuracy and performance.

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